What I am interested in
My name is Douglas Bazo de Castro, and I am a Portuguese PhD student in Earth & Planetary Sciences. I develop AI-driven computational methodologies for Earth and planetary observation, combining spacecraft spectroscopy, remote sensing, and machine learning to analyze surface materials on Earth, Mars, and the Moon.
When I’m not observing planetary landscapes from orbit or training neural networks, I love to fly over them as a student pilot training for my private pilot license!
Computational Geosciences & AI Engineering
• ML for Earth Observation & CV: PyTorch/Lightning, TorchGeo, segmentation-models-pytorch, U-Net, DeepLabV3+, Super-Resolution (EDSR, RCAN), Uncertainty Quantification (MC Dropout, Deep Ensembles).
• Geospatial Data Engineering & GIS: Python, GDAL/OGR, rasterio, rioxarray/xarray, GeoPandas, Dask, SQL/PostGIS, Google Earth Engine (GEE).
• Remote Sensing & Sensor Fusion: Hyperspectral Imaging (VNIR-SWIR), UAV Photogrammetry, Smartphone LiDAR, Radar-Optical Fusion (Sentinel-1 GRD, Sentinel-2, Landsat, MODIS).
• MLOps, Cloud & 3D Analytics: Docker, DVC, MLflow, Weights & Biases (W&B), GCP/AWS, Git/GitHub Actions, Unreal Engine (3D Interactive Terrains).
300% increase in conversion rate in just 2 months
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